Amazon Bedrock AgentCore Harness GA: Two API Calls, Seconds to Production-Grade AI Agent
Decision Brief
What changedAmazon Bedrock AgentCore Harness is now GA, letting developers create, run, and trace production AI agents in an isolated environment with just two API calls.
Why it mattersIt dramatically reduces AI agent development overhead and deployment time, letting AI builders focus on business logic without managing infrastructure.
Who should careAI coding tool users, Agent builders
Affected stackMCP
Builder actionEvaluate
Source confidenceHigh · Official release / blog / repo
Amazon Bedrock AgentCore Harness is now generally available. With just two API calls—CreateHarness to define the agent and InvokeHarness to execute—developers can launch an isolated environment with a dedicated file system and shell in seconds. The agent can securely read files, run commands, and write code. It supports cross-session memory for users and conversations, and can dynamically attach tools including AWS built-in catalog, custom tools via Gateway or MCP, and even switch model providers mid-stream without losing context. All steps are streamed in real-time and automatically logged to Amazon CloudWatch. No orchestration code or container build is required.
Summary basis: official / RSS sourceUnless it says 'full article read', this summary is based only on publicly available content — it never pretends to have read restricted originals.
Sources
- AWS：Machine Learning Blog
Applied ML, infra, and deployment guidance useful for AI builders on AWS.
- AWS：Machine Learning Blog